LOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization

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    Abstract:

    This paper explores the data cleaning challenges that arise in using WiFi connectivity data to locate users to semantic indoor locations such as floors, regions, rooms, etc. WiFi connectivity data consists of sporadic connections between devices and nearby WiFi access points (APs), each of which may cover a relatively large area within ...More

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